Services
Product, analytics, and strategy that reach the decision.
Five services, one operating system: shape the product question, see what users do, turn data into usable evidence, read the market, and carry the recommendation into the room.
01
Technology & Product
Turn product questions into production-ready direction.
Product work loses force when market logic, growth needs, specification, and implementation sit in separate rooms. This service turns the business question into product direction teams can actually build: clearer journeys, sharper requirements, stronger prototypes, and analytics hooks designed in from the start.
- Product specification & opportunity framing
- Feature definition & prioritization
- Mobile and web experience specification
- Prototype-to-production product briefs
- Analytics instrumentation planning
e.g., a product opportunity map with prioritized features, screen-level requirements, and the measurement plan needed to know whether the release worked.
02
Behavioral & User Analytics
Know what users actually need.
Product decisions fail when teams read behavior too narrowly. This practice turns journeys, funnel movement, product friction, trend signal, and OSINT-informed context into a clearer view of the ICP: who the product is really for, what they need next, and which product calls can be defended with evidence.
- PMF validation
- A/B testing & feature analysis
- User journeys, trends & funnel intelligence
- ICP clarity & behavioral segmentation
- OSINT-informed user and market signal
- Product & data QA
e.g., an ICP intelligence brief that connects journeys, conversion friction, outside signal, and prioritized product moves.
03
Data & Business Intelligence
Numbers the company can run on.
Most reporting answers questions nobody asked. This practice builds the layer leadership actually uses: KPIs that map to decisions, reporting that runs itself, and models that flag what changed before it becomes expensive.
- BI dashboards & KPI frameworks
- Automated reporting systems
- Predictive analytics & anomaly detection
- Data modeling & data quality
- Data storytelling & visualization
e.g., an executive KPI framework with an automated weekly readout, or an anomaly-detection layer on revenue-critical funnels.
04
Market & Consumer Intelligence
See the market before it moves you.
Internal data tells you what is happening; it rarely tells you why, or what is coming. This practice looks outward - competitors, categories, consumers - and brings the outside view to the same standard of evidence as the inside one.
- Competitive intelligence & benchmarking
- Market research & opportunity assessment
- Shopper & consumer insights, Voice of Customer
- GTM & expansion research
e.g., a competitive teardown ahead of a category entry, or a Voice-of-Customer study that explains a soft quarter.
Methods include OSINT, SOCMINT, and social network analysis - applied where the question calls for them, never as an end in themselves.
05
Product Strategy & Advisory
A seat at the table, backed by evidence.
The flagship practice, and where the other three converge. Analysis is only useful when it survives contact with a boardroom - this is the work of turning evidence into the narrative, the recommendation, and the decision.
- Product & analytics advisory for executives, boards, investors
- Board & investor keynotes
- Product reports & executive briefings
- Strategic analysis & decision support
- Stakeholder narratives & data storytelling
e.g., an investor keynote on retention economics, or a product report that settles a roadmap argument.